Abstract:
|
Collaborative tagging systems have emerged as a successful solution for annotating contributed resources
to online sharing platforms, facilitating searching, browsing, and organizing their contents. To aid users in
the annotation process, several tag recommendation methods have been proposed. It has been repeatedly
hypothesized that these methods should contribute to improving annotation quality and reducing the cost
of the annotation process. It has been also hypothesized that these methods should contribute to the consolidation
of the vocabulary of collaborative tagging systems. However, to date, no empirical and quantitative
result supports these hypotheses. In this work, we deeply analyze the impact of a tag recommendation system
in the folksonomy of Freesound, a real-world and large-scale online sound sharing platform. Our results
suggest that tag recommendation effectively increases vocabulary sharing among users of the platform. In
addition, tag recommendation is shown to contribute to the convergence of the vocabulary as well as to a
partial increase in the quality of annotations. However, according to our analysis, the cost of the annotation
process does not seem to be effectively reduced. Our work is relevant to increase our understanding about
the nature of tag recommendation systems and points to future directions for the further development of
those systems and their analysis. |
Abstract:
|
This work has been supported by BES-2010-037309 FPI from the Spanish Ministry of Science and Innovation,
TIN2009-14247-C02-01 from the Spanish government (F.F.), 2009-SGR-1434 from Generalitat de Catalunya
(J.S.), JAEDOC069/2010 from CSIC (J.S.), FSE2007-2013 E. U. Social funds (J.S.), and FP7-2007-2013/ERC
grant agreement 267583 (CompMusic; F.F. and X.S.). |